Greedy dictionary learning for kernel sparse representation based classifier
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文摘

Proposed a novel kernel dictionary learning algorithm.

Dictionary is updated in the coefficient domain instead of the signal domain.

Proposed a hierarchical learning framework for efficient sparse representation.

Proposed algorithm has much less computational complexity.

Proposed approach performs well for various pattern classification tasks.

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